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Author: Stuart S. Nagel
Publisher: Springer
Published: 1992-06-18
Total Pages: 311
ISBN-13: 1349124982
DOWNLOAD EBOOK →Decision-aiding software is applied in this book to government, personal decisions, law, teaching, decision-analysis research, cross-national decision-making, business and politics.
Author: Stuart S. Nagel
Publisher: Springer
Published: 1991-06-18
Total Pages: 312
ISBN-13: 1349116572
DOWNLOAD EBOOK →The aim of this book is to clarify what is involved in using decision-aiding software in evaluative decision-making at a non-technical level. Topics covered include the skills that software enhances, the obstacles that it helps overcome, and the applications to diverse fields.
Author: Stuart S. Nagel
Publisher: Palgrave Macmillan
Published: 1992-01-01
Total Pages: 304
ISBN-13: 9780312068110
DOWNLOAD EBOOK →Author: Jie Lu
Publisher: Imperial College Press
Published: 2007
Total Pages: 407
ISBN-13: 1860948596
DOWNLOAD EBOOK →This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.
Author: M. Lisa Miller
Publisher: Prentice Hall
Published: 2003
Total Pages: 180
ISBN-13:
DOWNLOAD EBOOK →A casebook to complement most MIS/CIS textbooks. Designed to demonstrate how software can support managerial decision-making activities, this casebook features 20 cases (more than another casebook currently on the market) that cover functional areas of the firm, are spread across three difficulty levels basic, intermediate, and advanced and require students to apply spreadsheet, database, Web-page development, and/or presentation graphics software, often in an integrated manner. The cases present common managerial issues and problems and encourage students to actually use their models to make decisions for the case's characters. Many of the cases require students to prepare both written and oral presentations of their solutions.
Author: Jie Lu
Publisher: World Scientific
Published: 2007-05-10
Total Pages: 408
ISBN-13: 1908979259
DOWNLOAD EBOOK →This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice. Contents: Decision Making, Decision Support Systems, and Fuzzy Sets:Decision MakingMulti-Objective and Multi-Attribute Decision MakingGroup Decision MakingDecision Support SystemsFuzzy Sets and SystemsFuzzy Multi-Objective Decision Making:Fuzzy MODM ModelsFuzzy MODM MethodsFuzzy Multi-Objective DSSFuzzy Group Decision Making:Fuzzy MCDMFuzzy Group Decision MakingA Web-Based Fuzzy Group DSSFuzzy Multi-Objective Group Decision Making:Multi-Objective Group DSSFuzzy Multi-Objective Group DSSApplications:Environmental Economic Load DispatchTeam Situation AwarenessReverse Logistics Management Readership: Final year undergraduates, graduate and postgraduate students in business management, computer science, fuzzy logic, artificial intelligence and related areas. Keywords:Multi-Objective Decision Making;Group Decision Making;Multi-Criteria Decision Making;Decision Support Systems;Fuzzy SetKey Features:Describes a complete set of models, methods and algorithms with fuzzy set techniques not only for solving fuzzy MODM, fuzzy MCDM and fuzzy GDM problems, but also for solving general MODM, MCDM and GDM problemsFeatures two decision support systems (DSSs) for a fuzzy multi-objective DSS and a fuzzy group DSS on how to apply, design and implement such kinds of DSSs in practiceHighlights various applications of proposed decision-making methods and DSS software including power markets, team situation awareness, and logistics management, from the practical point of viewReveals new directions of DSSs — online customer DSSs and perceptive DSSs
Author: Surekha Borra
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2019-10-21
Total Pages: 221
ISBN-13: 3110618710
DOWNLOAD EBOOK →Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).
Author: Mykel J. Kochenderfer
Publisher: MIT Press
Published: 2015-07-24
Total Pages: 350
ISBN-13: 0262331713
DOWNLOAD EBOOK →An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author: R. Schank
Publisher: Springer
Published: 2010-08-16
Total Pages: 220
ISBN-13: 0230110398
DOWNLOAD EBOOK →We now possess the capability to make great business decisions in even the most difficult situations with the use of today's advanced software capability. The authors, who are experts in the field, explain the new science of decision-making and offer examples and advice that will enable readers put it to use in their organizations.
Author: Shady H.E. Abdel Aleem
Publisher: Academic Press
Published: 2019-09-21
Total Pages: 576
ISBN-13: 0128166266
DOWNLOAD EBOOK →Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids. As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors. Provides panoramic coverage of state-of-the-art energy systems, strategies and priorities in support of electrical power decision-making Introduces innovative research outcomes, programs, algorithms and approaches to address challenges in understanding, creating and managing complex techno-socio-economic engineering systems Includes practical training on theoretical developments and the application of advanced methods for realistic electrical energy engineering problems
